1. Protein Interactomics & Interfaceomics 박종화 Jong Bhak NGIC (National Genome Information Center) KRIBB 국가유전체정보센터

2. Acknowledgement People who do science because science is interesting and fun. People who support science and technology by paying tax. MOST of Korea which funds NGIC. KRIBB for funding and support.

3. Content Bioinformatics Protein Informatics Protein Interactomics & Interfaceomics

4. Brief History of Bioinformatics Darwin: A theoretical biologist Mendel: A theoretical prediction and validation Perutz and Kendrew: structural biologists Crick and Watson: DNA modellers Crick, Brenner, : Codon Sanger: DNA sequencing: Genomics Sanger: Protein sequencing Sanger: Proteomics Lesk: Visualization of proteins Needleman & Wunch: Computer algorithms Southern: Hybridization  Functional Genomics Tim Berners-Lee 1990: HTTPD  Internet

5. DNA modelling (Watson & Crick, 1953) Hemoglobin 과 Myoglobin 의 structure 비교 (Max Perutz,John Kentreu) : structure 와 sequence 양대영역 개념정리 structuresequence DNA codon anticodon peptide 개념정리 X-174 genome (F.sanger) : full genome sequencing DB construction (Gen Bank, PIR,...) Bio-Computation Methodology (Chris Sander, Arther Lesk, etc ) Bioinformatics Expanded ·Structural genomics Comparative genomics ·Sequencing ·Functional genomics ·SNP ·Proteomics (Mass spec. protein chip) ·DataBases ·Computational analysis Methodology Dynamic program 을 이용한 Sequence comparison app module (Niedleman & Bunsche) DNA chip & Microarray technology Southern blot Hybridization methology Functions Darwin (evolution) Mendel (genetic analysis) INTERNETComputer

6. Bioinformatics People ? Explorers of 1300-1400 Charting the unknown territory of Biological Life.

7. Gangnido 1402

9. World Traffic Map

10. Long Definition of Bioinformatics Bioinformatics is a discipline of science that analyses, seeks understanding and models the whole life as an information processing phoenomenon utilizing energy with methods from philosophy, mathematics and computer science using biological experimental data. -- Jong Bhak

11. A short definition of Bioinformatics Biology is bioinformatics and bioinformatics is biology. -- Jong Bhak

12. Research Domains of Bioinformatics Sequence Structure Expression Interaction Function Literature

13. What is Protein? The most informative object in the biological universe. Protein level is efficient to work with.  a Naturally distinct unit. So, favoured by bioinformatic computing.

14. BioComplexity Density Chart Size Scale 10-e910-e610-e311010-e10 Total complexity Relative complexity Complexity degree

15. Why Interactome and Interactomics? Context in Biology is always the problem of ‘ interactions ’ Dan Bolser & Jong Bhak, Genome informatics

16. Why Protein Intearctome ? Protein Intearctome can give us the most valuable insights and information about biological functions in cells. (it is the best map you can have in biology) http://interactome.org

17. Why Structural Interactomics ? Most definite. Most informative Most accurate Directly connected to drug discovery. Structural  certain well-known forces and physical rules are considered. Most fun and beautiful to work with ?

18. Funnel of Biological Drug Discovery GenomicsProteomicsInteractomicsPhysiomics Structure Drug Discovery

19. The unit of Interaction Protein Structural Domains

20. What are Structural Domains ?

21. Protein A Protein B Interaction among domains

22. Hydrophobic core (Interior) Hydrophobic core (interior) Protein surface geometric interface Water Molecule Interaction crust (+) Interaction crust (-) Interface scaffold

23. Detecting (defining) Domain Interaction

24. ASA: Accessible Surface Area

25. Voronoi Diagram

26. A protein domain interaction map

27. What can we do with Interactomes? The main academic goal of Interactomics –Mapping all the molecular interactions in cells

28. Computational Human Interactome Mapping all the protein-protein and protein-ligand interactions using computational and experimental methods.

29. Practical Steps of Complete Human Interactome Structure DB Predicted Human Interactome 

30. Comparative Interactomics A large scale analysis of comparing interactomes of species to understand the evolution and function of cells.

31. Global view of protein family interaction networks for 146 genomes

32. Comparative Interactomics We found that all 146 interactomes are scale-free networks, and they share a core protein-interactome comprising 36 protein families related to indispensable functions in a cell. Daeui Park, Semin Lee, Dan Bolser, Michael Schroeder, Michael Lappe, Donghoon Oh, & Jong Bhak. Bioinformatics, 2005.

33. Eukarya and Prokarya We found two fundamental differences among prokaryotic and eukaryotic interactomes: –1) eukarya had significantly more hub families than archaea and bacteria, and –2) certain special hub families determined the shapes of the eukaryotic interactomes.

34. Core Interactome

35. Interfaceomics http://interpare.net/ Analyzing the actual interaction interfaces of protein-protein interactions. Interfaceome: the whole set of interacting molecular pairs in cells. Wankyu Kim, Dan M. Bolser and Jong Park, Bioinformatics, 2004, 20(7):1138-1150.

36. InterFacer Choi HanSol

37. InterFacer http://www.interfacer.org/

38. Graphic User Interface of InterFacer.

39. Goal of Interactomics & Interfaceomics Fastest Drug Discovery Possible

40. References Large scale co-evolution analysis of Protein Structural Interlogues using the global Protein Structural Interactome Map(PSIMAP). Wankyu Kim, Dan M. Bolser and Jong Park, Bioinformatics, 2004, 20(7):1138-1150. Visualisation and Graph-theoretic Analysis of a Large-scale Protein Structural Interactome Dan M Bolser, Panos Dafas, Richard Harrington, Jong H Park and Michael Schroeder BMC Bioinformatics 2003 4:45 Conservation of protein interaction network in evolution. Park J, Bolser D. Genome Informatics. 2001 ;12:135-40. Mapping protein family interactions: intramolecular and intermolecular protein family interaction repertoires in the PDB and yeast. Park J, Lappe M, Teichmann SA. J Mol Biol. 2001 Mar 30;307(3):929-38.

41. Brief Introduction on NGIC 國家有傳體情保 ( National Genome Information Center http://ngic.re.kr/ ) http://ngic.re.kr/ NGIC was established with the vision to become the hub of Korean bioinformatics effort: 1) collects and distributes genomic and proteomic data, 2) provides bioinformaatic databases and analysis platforms 3) promotes domestic and international research collaborations in bioinformatics. Since 2001